{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "QUANTAXIS>> start QUANTAXIS\n",
      "QUANTAXIS>> Welcome to QUANTAXIS, the Version is 1.0.66\n",
      "QUANTAXIS>>  \n",
      " ```````````````````````````````````````````````````````````````````````````````````````````````````````````````````````` \n",
      "  ``########`````##````````##``````````##`````````####````````##```##########````````#``````##``````###```##`````######`` \n",
      "  `##``````## ```##````````##`````````####````````##`##```````##```````##```````````###``````##````##`````##```##`````##` \n",
      "  ##````````##```##````````##````````##`##````````##``##``````##```````##``````````####```````#```##``````##```##``````## \n",
      "  ##````````##```##````````##```````##```##```````##```##`````##```````##`````````##`##```````##`##```````##````##``````` \n",
      "  ##````````##```##````````##``````##`````##``````##````##````##```````##````````##``###```````###````````##`````##`````` \n",
      "  ##````````##```##````````##``````##``````##`````##`````##```##```````##```````##````##```````###````````##``````###```` \n",
      "  ##````````##```##````````##`````##````````##````##``````##``##```````##``````##``````##`````##`##```````##````````##``` \n",
      "  ##````````##```##````````##````#############````##```````##`##```````##`````###########`````##``##``````##`````````##`` \n",
      "  ###```````##```##````````##```##```````````##```##```````##`##```````##````##`````````##```##```##``````##```##`````##` \n",
      "  `##``````###````##``````###``##`````````````##``##````````####```````##```##``````````##``###````##`````##````##`````## \n",
      "  ``#########``````########```##``````````````###`##``````````##```````##``##````````````##`##``````##````##`````###``### \n",
      "  ````````#####`````````````````````````````````````````````````````````````````````````````````````````````````````##``  \n",
      "  ``````````````````````````````````````````````````````````````````````````````````````````````````````````````````````` \n",
      "  ``````````````````````````Copyright``yutiansut``2018``````QUANTITATIVE FINANCIAL FRAMEWORK````````````````````````````` \n",
      "  ``````````````````````````````````````````````````````````````````````````````````````````````````````````````````````` \n",
      " ```````````````````````````````````````````````````````````````````````````````````````````````````````````````````````` \n",
      " ```````````````````````````````````````````````````````````````````````````````````````````````````````````````````````` \n",
      " \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import scipy.stats as scs\n",
    "import matplotlib.pyplot as plt\n",
    "import QUANTAXIS as QA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. 获取股票, 并选取close 进行初步分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 获取上证50中的四根票\n",
    "code=QA.QA_fetch_stock_block_adv().get_block('上证50').code[0:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=QA.QA_fetch_stock_day_adv(code,'2018-01-01','2018-07-16').to_qfq()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>code</th>\n",
       "      <th>600000</th>\n",
       "      <th>600016</th>\n",
       "      <th>600019</th>\n",
       "      <th>600028</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-02</th>\n",
       "      <td>12.587085</td>\n",
       "      <td>7.006029</td>\n",
       "      <td>8.521262</td>\n",
       "      <td>6.008582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-03</th>\n",
       "      <td>12.527712</td>\n",
       "      <td>7.055368</td>\n",
       "      <td>8.492731</td>\n",
       "      <td>6.102908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-04</th>\n",
       "      <td>12.527712</td>\n",
       "      <td>7.022475</td>\n",
       "      <td>8.502242</td>\n",
       "      <td>6.508511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-05</th>\n",
       "      <td>12.557398</td>\n",
       "      <td>7.071814</td>\n",
       "      <td>8.435669</td>\n",
       "      <td>6.659433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08</th>\n",
       "      <td>12.547503</td>\n",
       "      <td>7.170490</td>\n",
       "      <td>8.835103</td>\n",
       "      <td>6.650000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "code           600000    600016    600019    600028\n",
       "date                                               \n",
       "2018-01-02  12.587085  7.006029  8.521262  6.008582\n",
       "2018-01-03  12.527712  7.055368  8.492731  6.102908\n",
       "2018-01-04  12.527712  7.022475  8.502242  6.508511\n",
       "2018-01-05  12.557398  7.071814  8.435669  6.659433\n",
       "2018-01-08  12.547503  7.170490  8.835103  6.650000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# 选择close序列, 进行pivot成表\n",
    "close=data.pivot('close')\n",
    "\n",
    "close.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用基准价格比较股票"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2421d172128>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1152 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(close/close.iloc[0]*100).plot(figsize = (18,16))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 计算收益率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>code</th>\n",
       "      <th>600000</th>\n",
       "      <th>600016</th>\n",
       "      <th>600019</th>\n",
       "      <th>600028</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-03</th>\n",
       "      <td>-0.004728</td>\n",
       "      <td>0.007018</td>\n",
       "      <td>-0.003354</td>\n",
       "      <td>0.015577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-04</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.004673</td>\n",
       "      <td>0.001119</td>\n",
       "      <td>0.064345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-05</th>\n",
       "      <td>0.002367</td>\n",
       "      <td>0.007001</td>\n",
       "      <td>-0.007861</td>\n",
       "      <td>0.022924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08</th>\n",
       "      <td>-0.000788</td>\n",
       "      <td>0.013857</td>\n",
       "      <td>0.046264</td>\n",
       "      <td>-0.001417</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "code          600000    600016    600019    600028\n",
       "date                                              \n",
       "2018-01-02       NaN       NaN       NaN       NaN\n",
       "2018-01-03 -0.004728  0.007018 -0.003354  0.015577\n",
       "2018-01-04  0.000000 -0.004673  0.001119  0.064345\n",
       "2018-01-05  0.002367  0.007001 -0.007861  0.022924\n",
       "2018-01-08 -0.000788  0.013857  0.046264 -0.001417"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "log_returns=np.log(close/close.shift(1))\n",
    "log_returns.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000002421DDCF860>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000002421DD90630>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000002421DDC6588>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000002421D1802B0>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1368x1152 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_returns.hist(bins = 50, figsize = (19,16))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>code</th>\n",
       "      <th>600000</th>\n",
       "      <th>600016</th>\n",
       "      <th>600019</th>\n",
       "      <th>600028</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>600000</th>\n",
       "      <td>0.046201</td>\n",
       "      <td>0.030160</td>\n",
       "      <td>0.037957</td>\n",
       "      <td>0.028727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600016</th>\n",
       "      <td>0.030160</td>\n",
       "      <td>0.040633</td>\n",
       "      <td>0.036671</td>\n",
       "      <td>0.032252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600019</th>\n",
       "      <td>0.037957</td>\n",
       "      <td>0.036671</td>\n",
       "      <td>0.135902</td>\n",
       "      <td>0.046658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600028</th>\n",
       "      <td>0.028727</td>\n",
       "      <td>0.032252</td>\n",
       "      <td>0.046658</td>\n",
       "      <td>0.096903</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "code      600000    600016    600019    600028\n",
       "code                                          \n",
       "600000  0.046201  0.030160  0.037957  0.028727\n",
       "600016  0.030160  0.040633  0.036671  0.032252\n",
       "600019  0.037957  0.036671  0.135902  0.046658\n",
       "600028  0.028727  0.032252  0.046658  0.096903"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "log_returns.cov()*252"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "noa=len(code)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 给不同股票随意分配权重"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.21942895, 0.14466788, 0.17803594, 0.45786723])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weights = np.random.random(noa)\n",
    "weights /= np.sum(weights)\n",
    "weights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 计算预期组合年化收益、组合方差和组合标准差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.16519203884200712"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(log_returns.mean()*weights)*252"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05211897463039171"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.dot(weights.T, np.dot(log_returns.cov()*252,weights))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2282958051090552"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sqrt(np.dot(weights.T, np.dot(log_returns.cov()* 252,weights)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 用蒙特卡洛模拟产生大量随机组合\n",
    "\n",
    "进行到此，我们最想知道的是给定的一个股票池（证券组合）如何找到风险和收益平衡的位置。\n",
    "\n",
    "下面通过一次蒙特卡洛模拟，产生大量随机的权重向量，并记录随机组合的预期收益和方差。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x2421d783978>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "port_returns = []\n",
    "port_variance = []\n",
    "for p in range(4000):\n",
    "    weights = np.random.random(noa)\n",
    "    weights /=np.sum(weights)\n",
    "    port_returns.append(np.sum(log_returns.mean()*252*weights))\n",
    "    port_variance.append(np.sqrt(np.dot(weights.T, np.dot(log_returns.cov()*252, weights))))\n",
    "\n",
    "port_returns = np.array(port_returns)\n",
    "port_variance = np.array(port_variance)\n",
    "\n",
    "#无风险利率设定为4%\n",
    "risk_free = 0.04\n",
    "plt.figure(figsize = (8,4))\n",
    "plt.scatter(port_variance, port_returns, c=(port_returns-risk_free)/port_variance, marker = 'o')\n",
    "plt.grid(True)\n",
    "plt.xlabel('excepted volatility')\n",
    "plt.ylabel('expected return')\n",
    "plt.colorbar(label = 'Sharpe ratio')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 投资组合优化1——sharpe最大\n",
    "\n",
    "建立statistics函数来记录重要的投资组合统计数据（收益，方差和夏普比）\n",
    "\n",
    "通过对约束最优问题的求解，得到最优解。其中约束是权重总和为1。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     fun: -0.3395589843140905\n",
       "     jac: array([1.88688774, 1.29688912, 0.85391124, 0.        ])\n",
       " message: 'Optimization terminated successfully.'\n",
       "    nfev: 12\n",
       "     nit: 2\n",
       "    njev: 2\n",
       "  status: 0\n",
       " success: True\n",
       "       x: array([7.21644966e-16, 0.00000000e+00, 0.00000000e+00, 1.00000000e+00])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def statistics(weights):\n",
    "    weights = np.array(weights)\n",
    "    port_returns = np.sum(log_returns.mean()*weights)*252\n",
    "    port_variance = np.sqrt(np.dot(weights.T, np.dot(log_returns.cov()*252,weights)))\n",
    "    return np.array([port_returns, port_variance, port_returns/port_variance])\n",
    "\n",
    "#最优化投资组合的推导是一个约束最优化问题\n",
    "import scipy.optimize as sco\n",
    "\n",
    "#最小化夏普指数的负值\n",
    "def min_sharpe(weights):\n",
    "    return -statistics(weights)[2]\n",
    "\n",
    "#约束是所有参数(权重)的总和为1。这可以用minimize函数的约定表达如下\n",
    "cons = ({'type':'eq', 'fun':lambda x: np.sum(x)-1})\n",
    "\n",
    "#我们还将参数值(权重)限制在0和1之间。这些值以多个元组组成的一个元组形式提供给最小化函数\n",
    "bnds = tuple((0,1) for x in range(noa))\n",
    "\n",
    "#优化函数调用中忽略的唯一输入是起始参数列表(对权重的初始猜测)。我们简单的使用平均分布。\n",
    "opts = sco.minimize(min_sharpe, noa*[1./noa,], method = 'SLSQP', bounds = bnds, constraints = cons)\n",
    "opts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "得到的最优组合权重向量为："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 0., 1.])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opts['x'].round(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sharpe最大的组合3个统计数据分别为："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.106, 0.311, 0.34 ])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#预期收益率、预期波动率、最优夏普指数\n",
    "statistics(opts['x']).round(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 投资组合优化2——方差最小\n",
    "接下来，我们通过方差最小来选出最优投资组合。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "     fun: 0.18986885342564985\n",
       "     jac: array([0.18988797, 0.18988497, 0.19980709, 0.18966556])\n",
       " message: 'Optimization terminated successfully.'\n",
       "    nfev: 48\n",
       "     nit: 8\n",
       "    njev: 8\n",
       "  status: 0\n",
       " success: True\n",
       "       x: array([0.37442787, 0.54700915, 0.        , 0.07856297])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#但是我们定义一个函数对 方差进行最小化\n",
    "def min_variance(weights):\n",
    "    return statistics(weights)[1]\n",
    "\n",
    "optv = sco.minimize(min_variance, noa*[1./noa,],method = 'SLSQP', bounds = bnds, constraints = cons)\n",
    "optv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "方差最小的最优组合权重向量及组合的统计数据分别为："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.374, 0.547, 0.   , 0.079])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "optv['x'].round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.401,  0.19 , -2.115])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#得到的预期收益率、波动率和夏普指数\n",
    "statistics(optv['x']).round(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 组合的有效前沿\n",
    "有效前沿有既定的目标收益率下方差最小的投资组合构成。\n",
    "\n",
    "在最优化时采用两个约束，1.给定目标收益率，2.投资组合权重和为1。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def  min_variancemin_varia (weights):\n",
    "    return statistics(weights)[1]\n",
    "\n",
    "#在不同目标收益率水平（target_returns）循环时，最小化的一个约束条件会变化。\n",
    "target_returns = np.linspace(0.0,0.5,50)\n",
    "target_variance = []\n",
    "for tar in target_returns:\n",
    "    cons = ({'type':'eq','fun':lambda x:statistics(x)[0]-tar},{'type':'eq','fun':lambda x:np.sum(x)-1})\n",
    "    res = sco.minimize(min_variance, noa*[1./noa,],method = 'SLSQP', bounds = bnds, constraints = cons)\n",
    "    target_variance.append(res['fun'])\n",
    "\n",
    "target_variance = np.array(target_variance)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面是最优化结果的展示。\n",
    "\n",
    "叉号：构成的曲线是有效前沿（目标收益率下最优的投资组合）\n",
    "\n",
    "红星：sharpe最大的投资组合\n",
    "\n",
    "黄星：方差最小的投资组合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x2421d8376d8>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,4))\n",
    "#圆圈：蒙特卡洛随机产生的组合分布\n",
    "plt.scatter(port_variance, port_returns, c = port_returns/port_variance,marker = 'o')\n",
    "#叉号：有效前沿\n",
    "plt.scatter(target_variance,target_returns, c = target_returns/target_variance, marker = 'x')\n",
    "#红星：标记最高sharpe组合\n",
    "plt.plot(statistics(opts['x'])[1], statistics(opts['x'])[0], 'r*', markersize = 15.0)\n",
    "#黄星：标记最小方差组合\n",
    "plt.plot(statistics(optv['x'])[1], statistics(optv['x'])[0], 'y*', markersize = 15.0)\n",
    "plt.grid(True)\n",
    "plt.xlabel('expected volatility')\n",
    "plt.ylabel('expected return')\n",
    "plt.colorbar(label = 'Sharpe ratio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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